Tanos

Automation in manufacturing is the process of using production management software or robotic tools to operate a factory when making a physical product. These tools are built to perform operations to help businesses with tasks such as:

Processing
Assembly
Inspection
Inventory management
Production planning

It’s quickly become essential to consider the automation of the manufacturing process, as 76% of manufacturers use automation to improve their factory floor’s productivity as a key strategy for increasing growth.

INDUSTRIAL ROBOTICS

Industrial robots are robotic arms that can move in several directions and can be programmed to carry out many different types of tasks in different environments. Robotic arms can be equipped with any type of tool. These tools are used with precision, accuracy, speed, and repetitiveness that can not be matched by humans. These robotic arms can have a multitude of sensors and vision systems capable of viewing images to aid with their computer-based control. That sensor and vision feedback can be used with with artificial intelligence to make decisions about the behavior of the robotic arm. Industrial robots and automation are an important part of the manufacturing of most products produced in today’s world.

PLC-BASED PROCESS CONTROL

Tanos engineers deploy Programmable Logic Controller (PLC) solutions at the heart of manufacturing process control. Our systems handle discrete, continuous, and hybrid processes — coordinating conveyors, actuators, motors, and safety interlocks through deterministic, real-time logic execution. Custom-built control panels, standardised programming architectures, and seamless integration with plant-level SCADA and MES systems ensure every line runs at peak efficiency with minimal unplanned stops.

MACHINE VISION & QUALITY INSPECTION

Manual inspection is slow, inconsistent, and error-prone at high production volumes. Tanos integrates AI-powered machine vision systems directly into the production line for 100% inline inspection. High-speed cameras and deep-learning algorithms detect surface defects, dimensional deviations, label mismatches, and assembly errors in milliseconds — automatically rejecting non-conforming units and generating statistical process control (SPC) data that feeds continuous improvement cycles.

ENERGY MONITORING & EFFICIENCY

Energy is one of the largest controllable costs on the factory floor. Tanos deploys granular energy monitoring across machines, production cells, compressed air systems, and HVAC infrastructure, providing real-time dashboards and trend analytics. Automated demand-side management, motor speed optimisation through variable frequency drives (VFDs), and shift-based load balancing help manufacturers cut energy consumption by up to 30%, reducing both operating costs and carbon footprint.

Remote Monitoring and Predictive Maintenance

REMOTE MONITORING & PREDICTIVE MAINTENANCE

Downtime is expensive. Tanos places IIoT sensors on critical manufacturing assets — CNC machines, presses, compressors, and conveyors — streaming vibration, temperature, current, and runtime data to cloud-based analytics platforms. Predictive maintenance algorithms identify anomalies weeks before mechanical failure, allowing maintenance teams to schedule interventions during planned shutdowns. The result is a dramatic reduction in mean time to repair (MTTR) and a significant increase in Overall Equipment Effectiveness (OEE).

SMART FACTORY & INDUSTRY 4.0 INTEGRATION

Tanos bridges the gap between the shop floor and the enterprise. By connecting PLCs, SCADA, MES, and ERP systems through open industrial protocols such as OPC-UA and MQTT, we create a fully transparent, data-driven smart factory. Real-time production KPIs, digital twin simulations, and closed-loop feedback from the factory floor to planning systems enable manufacturers to respond instantly to demand changes, minimise waste, and accelerate time-to-market for new products.

MANUFACTURING DATA ANALYTICS

Raw operational data is only valuable when it drives decisions. Tanos aggregates production, quality, energy, and maintenance data into unified analytics dashboards tailored for plant managers, process engineers, and C-suite stakeholders. Advanced analytics — including root-cause analysis, yield forecasting, and throughput optimisation models — surface actionable insights that continuously improve product quality, reduce scrap rates, and increase profitability across multi-site manufacturing operations.